Advances, Systems and Applications
From: Landmark-based data location verification in the cloud: review of approaches and challenges
Experimentation context | Results | |||||||
---|---|---|---|---|---|---|---|---|
Number of | Type of | Distribution | Used | Settingsb | Success | Granularity | Distance | |
landmarks | landmarks | scale | genuine CSP | rate | error (km) | |||
Biswal2015 [27] | 67 | Planetlab | USA | Amazon | Mean, std and HC | 95.00% | County | 1.6 |
100% | County | 64 | ||||||
Rackspace | 99.99% | County | 1.6 | |||||
100% | County | 2253 | ||||||
99.99% | County | 1.6 | ||||||
100% | County | 1609 | ||||||
Amazon | Mean, std | 100% | County | 1.6 | ||||
HC and BW | ||||||||
Ries2011 [24] | 80 - 89 | Planetlab | Worldwide | Nonea | Phoenix, no proxy | 90% | Country | |
Pharos, no proxy | 80% | Country | ||||||
Vivaldi, no proxy | 65% | Country | ||||||
Phoenix, proxy | 50% | Country | ||||||
Vivaldi, proxy | 40% | Country | ||||||
Pharos, proxy | 30% | Country | ||||||
Fotouhi2015 [10] | 9 | Amazon VM | Worldwide | 100% | Areac | 240 | ||
Jaiswal2016 [22] | 60 | Planetlab | USA | Nonea | 100% | GPS coord. | 88.5 | |
Amazon | 100% | GPS coord. | 112.7 | |||||
Benson2011 [25] | 36 | Planetlab | USA | Nonea | 100% | City | 441.6 | |
Gondree2013 [26] | 50 | Planetlab | USA | Nonea | 50% | Area of | 166 | |
171,819 km2 | ||||||||
90% | Area of | 626 | ||||||
1,960,510 km2 | ||||||||
Amazon | Min RTT | 100% | Area of | |||||
11,175 km2 | ||||||||
Median RTT | 100% | Area of | ||||||
243,791 km2 | ||||||||
Watson2012 [21] | 28 | Planetlab | USA and | Nonea | Europe | 50% | Centroid coord. | 800 |
75% | Centroid coord. | 1000 | ||||||
Europe | North America | 50% | Centroid coord. | 1000 | ||||
75% | Centroid coord. | 1200 | ||||||
Eskandri2014 [23] | 38,892 | Websites | Worldwide | Nonea | Landmarks | 100% | GPS coord. | 100 |
at <100 km | ||||||||
Landmarks | 100% | GPS coord. | 600 | |||||
at <1000 km |